A Two-Dimensional Image Model based on Occlusion and Maximum Entropy

Author

John A. Stuller, Missouri University of Science and TechnologyFollow

Abstract

This Paper Provides New Insights into the Formation of Two-Dimensional Image Autocorrelation Functions. We Model an Image as a Maximum-Entropy Composition of Individual Occluding Object Images that Have Random Positions, Shapes and Intensities. We Derive the Autocorrelation Function of This Image Model, Give an Example, and Comment on the Reasonableness of the Frequently-Made Assumptions of Autocovariance Separability and Isotropy.

Recommended Citation

J. A. Stuller, "A Two-Dimensional Image Model based on Occlusion and Maximum Entropy," Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2, pp. 1434 - 1440, article no. 540935, Institute of Electrical and Electronics Engineers, Jan 1995.

The definitive version is available at https://doi.org/10.1109/ACSSC.1995.540935

Department(s)

Electrical and Computer Engineering

Comments

National Science Foundation, Grant MIP-9223020

International Standard Serial Number (ISSN)

1058-6393

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2023 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

01 Jan 1995